FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesCloudPandasPythonScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Apply data science product lifecycle principles to new projects, including design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance
- Develop production data science models, monitor performance and manage their lifecycle through retraining, optimisation and upgrades
- Work end to end on data solutions by understanding complex business challenges, designing scientific solutions and analysing large and small datasets
- Use third-party and internal data with machine learning or statistical modelling techniques to derive insights
- Collaborate with data scientists, data engineers, pricing teams and other technical stakeholders
- Support the maturation of the analytics practice within the organisation
- Write high-quality Python code for model training and deployment
- Research new techniques and technologies and communicate findings to the team
- Communicate data science opportunities and solutions to business stakeholders
- Conceptualise new approaches, communicate vision and see solutions through to implementation
Requirements
What you’ll need- Experience of data science, advanced analytics or a genuine interest to learn
- Ability to conduct high quality research independently and in small teams
- Familiarity with version control and other IT delivery tools
- Understanding of applying machine learning to business problems
- Experience developing predictive and prescriptive analysis, predictive modelling, machine learning or data mining
- Exceptional written communication and effective presentation skills
- Willingness to learn software development best practices
- Strong Python programming skills
- Experience of TDD, including pytest or another testing framework
- Graduate or postgraduate qualification or equivalent experience in a relevant discipline is nice to have
- Experience in finance, insurance or eCommerce is advantageous but not required
- Experience deploying in a cloud environment is nice to have
- Experience with neural networks, TensorFlow, CatBoost, XGBoost, scikit-learn and Pandas is nice to have
- API development experience is nice to have
- SQL experience is nice to have
- Software engineering experience is nice to have
- DevOps/MLOps experience is nice to have
- Good working understanding of CI/CD is nice to have
Benefits
Comp & perks- Hybrid working with the successful candidate anticipated to be in the office up to 2 days per week
- Flexible working support
- Inclusive culture and commitment to diversity
- Opportunity to work with a core team of data scientists, engineers and analysts
- Opportunity for continuous development of knowledge and experience